Data Engineer Entry Level NM Jobs in New York, NY at Top Level Consultancy

We are Hiring – Data Engineer (1–3 Years Experience) 

Looking for skilled Data Engineers to build and optimize scalable data pipelines and architectures.

Must have: SQL, Python, ETL, Data Warehousing, Cloud (AWS/Azure/GCP)

Good to have: Big Data tools (Spark/Hadoop), Airflow, AI/ML integration

Role Highlights:

 Design & maintain reliable data pipelines

 Ensure high-quality, clean, and secure datasets

 Collaborate with data scientists & business teams for analytics/AI solutions

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Job Overview

We are hiring a talented and dedicated Data Engineer for a leading IT Software / Services company in New York, NY. This is a great opportunity for those who want to work in a dynamic and challenging environment, utilizing cutting-edge technologies. You will be a part of a team that's responsible for the development and maintenance of the company's data infrastructure.

Job Roles & Responsibilities

• Design, develop, and test large scale data structures and pipelines to organize, collect and standardize data to generate insights and address reporting needs.
• Collaborate with data scientists, data architects, project managers, and other stakeholders to ensure alignment and achievement of business goals.
• Use complex SQL queries and other data analysis tools to perform data exploration and troubleshooting.
• Manage and optimize data systems, and build them from the ground up.

Salary

The annual salary for this position ranges from $75,000 to $85,000, depending on qualifications and experience. This position is available as W2-Permanent and W2-Contract.

Qualifications

• 1-3 years of professional experience in a Data Engineer role.
• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Must have work authorization in the United States (US Citizen, Green Card, H4, L2, STEM, OPT).

Skills

• Proficiency in Java and Python programming languages.
• Strong knowledge of SQL and experience working with big data platforms.
• Experience with Data Stage and data warehousing concepts.
• Solid understanding of data structures, algorithms, and object-oriented design.